{"id":"W6905787218","doi":"10.15468/dl.m2jabh","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Alien; Range (aeronautics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00105433,0.001923096,0.001622781,0.005044009,0.001049062,0.002534541,0.002784298,0.002112758,0.161974],"category_scores_gemma":[0.006376364,0.0009250335,0.001292494,0.009780443,0.0004561248,0.00225102,0.002565247,0.001995039,0.2274718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001591838,"about_ca_system_score_gemma":0.002470567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02144657,"about_ca_topic_score_gemma":0.03409053,"domain_scores_codex":[0.9989156,0.0001495345,0.0001362439,0.000379126,0.0002438758,0.0001756769],"domain_scores_gemma":[0.9972647,0.0008286294,0.0002398577,0.000702309,0.0006749358,0.0002895306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003103003,0.00001215659,0.000382737,0.0005892299,0.00001514761,0.00001565214,0.00002524859,0.000121693,0.0001359954,0.0003638179,0.9967705,0.001536916],"study_design_scores_gemma":[0.00007252341,0.000009474522,0.002016074,0.0002225861,0.00001582343,0.00003877066,0.00007844208,0.0001466071,0.0002107831,0.0007284487,0.9964424,0.00001818936],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004539925,0.00002994418,0.00004541436,0.00003773743,0.00001240248,0.000005872642,0.9987603,0.0004014794,0.0006614011],"genre_scores_gemma":[0.0001617212,0.00003506138,0.0002012815,0.00004696812,0.000003484456,0.00004589621,0.9988745,0.0001529188,0.0004781407],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.838026,"threshold_uncertainty_score":0.5418569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}